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基于模糊信息熵的彩铃客户属性约简算法
引用本文:高志军,李懿.基于模糊信息熵的彩铃客户属性约简算法[J].黑龙江科技学院学报,2011,21(6):478-480.
作者姓名:高志军  李懿
作者单位:黑龙江科技学院计算机与信息工程学院,哈尔滨,150027
摘    要:针对彩铃业务交易记录海量化和客户属性高维化、混合性的特点,提出一种应用模糊信息熵对彩铃客户属性进行约简的方法。以两个地区的营销返回样本为原始数据,结合CART分类器和10折交叉验证,比较由文中方法和经典粗糙集属性约简方法得到的特征数量和分类精度。实验结果表明,文中方法获得了相对较高的平均分类精度(81.36%)和最少的平均特征属性(4.5个),有效地约简了彩铃客户属性并改善了分类能力。

关 键 词:模糊信息熵  彩铃客户  属性约简

Attribute reduction algorithm of color ring customers based on fuzzy information entropy
GAO Zhijun,LI Yi.Attribute reduction algorithm of color ring customers based on fuzzy information entropy[J].Journal of Heilongjiang Institute of Science and Technology,2011,21(6):478-480.
Authors:GAO Zhijun  LI Yi
Institution:(College of Computer & Information Engineering,Heilongjiang Institute of Science & Technology,Harbin 150027,China)
Abstract:Aimed at the immense dealing track record of the color ring operation,and the high-dimensional and hybrid properties of the customers attribute,this paper proposes an attribute reduction method of the color ring customers based on fuzzy information entropy.The paper describes the combination of the CART classifier with 10-fold cross validation and the comparison between the number and accuracy of selected features using our method and classical rough,based on the marketing data sets of two different cities.Results show that the proposed method gives a much better average classification accuracy(81.36%),and the least average feature attribute(4.5),thus effectively reducing attribute,and even improving classification power.
Keywords:fuzzy information entropy  color ring customers  attribute reduction
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